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Allan PangView profile

Researcher

• Hong Kong history
• Chinese diaspora
• Southeast Asian history
• +6 more

Allan Pang is a Researcher in the Department of History within the School of Humanities at the University of Bristol. His work focuses on transregional histories connecting Hong Kong, Chinese diaspora communities, and Southeast Asia. As a historian with expertise in decolonization, cultural policies, and history education, Dr. Pang contributes significantly to understanding the complex interplay between colonialism, Chinese identities, and postcolonial nation-building across East and Southeast Asia. Education: BA, University of Hong Kong MPhil, University of Hong Kong PhD, University of Cambridge Dr. Pang's research engages with themes such as history education, popular music, and decolonisation from a transregional perspective across East and Southeast Asia. His current book project examines the transmission of historical knowledge in Hong Kong, Malaya/Malaysia, and Singapore from the 1950s to the 1990s, analyzing how Cold War politics, decolonization processes, and Chinese politics shaped understandings of 'Chineseness' through educational systems and public historical narratives. He also investigates transregional Chinese popular music across Hong Kong and Southeast Asia since the 1950s, examining how musicians and cultural producers exerted transregional agency through the music industry amidst political transitions, with particular attention to the works of composer Joseph Koo and lyricist James Wong from Hong Kong, Xinyao from Singapore, and campus folk songs from Taiwan. Dr. Pang's publications demonstrate a consistent focus on transregional connections between Hong Kong, Southeast Asia, and Chinese diaspora communities. His work bridges historical analysis with cultural studies, examining how historical narratives are constructed and transmitted through educational systems, popular culture, and public spaces. A notable trend in his recent scholarship is the examination of how Cold War politics shaped cultural production and historical consciousness across Asian contexts, particularly in relation to Chinese identities. His research increasingly incorporates digital humanities approaches, as evidenced by his public education campaign 'Malaysia Unbound' which features a digital interactive map of transregional connections. Scientific Awards: Shortlisted for the Best Article on Global Hong Kong Studies 2023, ICAS (International Convention of Asia Scholars) Book Prize for 'Stamping 'Imagination and Sensibility': Objects, Culture, and Governance in Late Colonial Hong Kong' Associate Fellow of the Higher Education Academy Dr. Pang is actively involved in teaching and public engagement. In 2024-25, he is delivering lectures and seminars for a second-year unit 'Asia in Global Perspective' (team taught). Before arriving at Bristol, he taught courses on empires in maritime East Asia, twentieth-century world history, Hong Kong history, and historiography. His public outreach includes working with Imagined Malaysia, an NGO in Malaysia, on the public education campaign 'Malaysia Unbound: Transregional Histories through Documents,' which explores Malaysia's transregional connections through weekly infographics and a digital interactive map. He also contributes to public initiatives at the Hong Kong History Centre through public talks and online lecture series.

Katrin VogtView profile

Researcher

• Behavioral Neuroscience
• Neural Circuits
• Sensory Processing
• +7 more

Katrin Vogt is a Group Leader at the University of Konstanz and an Affiliated Scientist at the Max Planck Institute of Animal Behavior. She serves on the IMPRS Board and Faculty, focusing on behavioral neuroscience in Drosophila larvae. Her research explores how social context and internal states (e.g., hunger) modulate neural circuits and behavior, utilizing genetic tools like optogenetics, RNAi, and CRISPR. Key Research Areas: Behavioral flexibility under internal state changes Neural integration of sensory and state signals in the antennal lobe Role of serotonin (CSD neuron) in modulating output pathways Computational modeling of state-dependent circuit dynamics Notable Achievements: Discovered state-dependent olfactory valence switching (e.g., geranyl acetate shifts from aversion to attraction under food deprivation) Elucidated glutamatergic inhibition mechanisms in picky local interneurons Identified 5-HT7 receptor's role in upregulating uniglomerular projection neuron activity Recent Publications: 2025: PLoS Biology on multimodal sensory neurons 2024: Current Biology commentary on behavioral neuroscience 2023: Current Biology on multisensory memory merging Academic Affiliations: University of Konstanz (Group Leader, Department of Collective Behavior) Max Planck Institute of Animal Behavior (Affiliated Scientist) IMPRS for Organismal Biology (Faculty Member) Scientific Awards: DFG Research Fellowship (Project No. 345729665) Students & Collaborators: PhD students: Hari P. Narayanan, Akhila Mudunuri Research assistants: Nora Tutas, Julius Klein, Constantin Dyroff DAAD summer student: Élyse Zadigue-Dubé Recent graduates: Amelie Edmaier (BSc 2023), Constantin Dyroff (BSc 2023)

Elena CologniView profile

Associate Professor

• Contemporary Art
• Critical Practice
• Dialogic Art
• +9 more

Elena Cologni is an Associate Professor of Contemporary Art and Critical Practice at the Cambridge School of Art, Anglia Ruskin University. She serves as the Cambridge School of Art Research Lead, PGR Coordinator, Panel 32 Art and Design REF 2021 and 2029 Convenor, School Research Ethics Panel Chair, and leads the Wellbeing, Care Aesthetics and Art Research and Education Unit (We CARE). She is also the ARU partnership Lead for the British Council Venice Biennale Fellowships Programme and the Art and Health Academic Lead for The Culture Capital Exchange Programme 2022-23. Her educational background includes: BA in Fine Art from Accademia di Belle Arti Brera in Milan MA in Sculpture from Bretton Hall College, Leeds University PhD in Fine Art and Philosophy from University of the Arts London, Central Saint Martin's College of Art and Design (2004) Cologni develops dialogic and situated artistic strategies for observing, recording and stimulating awareness of everyday experiences. Her interdisciplinary approach intersects artistic research with environmental psychology, care ethics, philosophy, and gender studies, resulting in dialogic sculptures, public interventions, performance scores, and drawings. Her work explores place attachment, ecofeminism, spatialized art practices, and the relationship between art, wellbeing, and care aesthetics. She is particularly interested in how artistic practice can facilitate the sharing of insights and the location of situated knowledges within our relations with one another, place, and the environment, creating instruments to stimulate awareness of everyday experiences through relational, participatory and dialogic approaches. Her publication portfolio reveals a consistent trajectory examining care ethics, dialogic practices, and the intersection of art with social and environmental concerns. She frequently investigates how artistic interventions can create spaces for dialogue about care, wellbeing, and our relationship to place and community, often bridging theoretical frameworks from feminist theory, environmental psychology, and performance studies with practical artistic applications that engage with public space, memory, and perception. Her notable recognition includes: Seeds of Attachment - The Shape of the Public's Health award - first prize - Royal Society for Public Health in collaboration with the Royal Society of Sculptors (2019) Artist Bursaries from Artists Newsletter (2018) Cologni supervises research students and has secured numerous research grants including the Practicing Feminist Care Aesthetics grant from The Getty Research Institute (2023/2025), Practices of care as ecofeminist and spatialized art funded by the Artist International Development Fund (Arts Council England and British Council 2018/19), and The Places of Memory commissioned by Universita' di Pisa (2022). She regularly collaborates with art galleries, museums, and the NHS Foundation Trust on educational activities and creative interventions that bridge art, health, and wellbeing. She leads the Wellbeing, Care Aesthetics and Art Research and Education Unit (We CARE) and coordinates the ARU Arts, Health and Wellbeing Research Network. Her work often involves community collaborations, as seen in projects like The Places of Memory, which engaged with local communities in Pisa, and Seeds of Attachment, which explored parent-child bonds in relation to place attachment through nomadic dialogic sculptures inspired by Margaret Lowenfeld's Mosaic Test.

Allison Adelle Hedge CokeView profile

Professor

• Creative Writing
• Poetry
• Indigenous Studies
• +5 more

Allison Adelle Hedge Coke is a Distinguished Professor of Creative Writing at the University of California, Riverside, where she leads the UCR Writers Week Festival and directs the VA National Cemetery Administration Legacy Program. She has held visiting or faculty positions at Hartwick College, University of Nebraska, Naropa University, and University of Hawai'i, Mānoa, including roles such as Fulbright Scholar in Montenegro and Dan & Maggie Inouye Chair in Democratic Ideals. Education: MFA from Vermont College (1995), AFAW from Institute of American Indian Arts, post-grad work at VCFA Her research and creative work intersects with Indigenous Studies, disability advocacy, and environmental poetics. She is known for mathematically encoding the prosody of her verse play Blood Run to mirror the Indigenous mound city it protects, and for multimedia projects like the Streaming album and Red Dust documentary. Her recent publications include the award-winning Look at This Blue and the curated anthology series Effigies , which spotlight emerging queer and Pacific Rim poets. Projects often blend community outreach, mental health advocacy, and Indigenous knowledge preservation. Major Awards: American Book Award, National Book Award Finalist, Pen Southwest Book Award, Texas Institute of Letters fellowship, NWCA Lifetime Achievement Hedge Coke’s mentorship spans juvenile facilities, reservations, and refugee communities. She founded the Literary Sandhill Cranefest Retreat and has secured grants for K-12 outreach programs integrating poetry with historical and ecological education.

Crystal BaeView profile

Assistant Professor

• Spatial Cognition
• Wayfinding and Navigation
• Geovisualization
• +2 more

Crystal Bae is an Assistant Professor of Geographic Information Science at the University of Chicago’s Center for Spatial Data Science since 2021. She earned her Ph.D. in Geography from the University of California, Santa Barbara, and completed a postdoctoral fellowship under Somayeh Dodge in the MOVE Lab, focusing on geographic visualization and spatial cognition. Research Interests: spatial cognition, wayfinding, geovisualization, travel behavior, and urban built environments. Teaching Roles: Courses include Spatial Cognition, Introduction to GIS, Cartographic Design, and Social Science Inquiry at UChicago; Urban Geography and Human Geography at UCSB. Scientific Awards: Certificate in College and University Teaching (CCUT), UCSB Excellence in Teaching Award, and recognition for innovative GIS lab design in ArcUser. Her work examines how individuals and groups cognitively process spatial environments through static and animated visualizations, collaborative navigation, and urban neighborhood boundaries. She has contributed to NSF-funded projects on movement ecology and spatial cognition, with publications in Movement Ecology, COSIT, and Built Environment. Crystal also co-hosts a jazz radio show, maintains a travel blog, and engages in bicycling adventures, reflecting her interdisciplinary approach to geography and personal connection to spatial experiences.

Jonah BergerView profile

Associate Professor

• Digital Marketing
• Influence
• Word of Mouth
• +5 more

Jonah Berger is an Associate Professor of Marketing at the Wharton School, University of Pennsylvania . A world-renowned expert on influence, word of mouth, natural language processing, and consumer behavior , he has published over 80 articles in top-tier journals and teaches one of the world’s most popular online courses. His research bridges marketing, psychology, sociology, and computer science to uncover why products, ideas, and behaviors go viral. Books: Contagious , Invisible Influence , The Catalyst , Magic Words (translated into 35+ languages) Industry Collaborations: Apple, Google, Nike, Amazon, GE, Moderna, Bill & Melinda Gates Foundation Research Focus: Berger’s work examines how language shapes consumer behavior , using natural language processing to extract insights from text data (e.g., lyrics, scripts, service calls). His recent projects explore confidence dynamics, communication mediums, and linguistic patterns in persuasion . Awards: Sheth Foundation Award (2025), Hunt/Maynard Award Finalist (2024), William F. O’Dell Award (2019), Berry-AMA Book Prize (2014) Media Impact: His work has been featured in The New York Times , Wall Street Journal , Harvard Business Review , and NPR, with over 100 media mentions spanning behavioral science, marketing, and social dynamics . Leadership: Co-founder of the Technology and Behavioral Science Initiative and organizer of interdisciplinary Behavioral Insights from Text conferences. He has keynoted major events like SXSW and Cannes Lions for Fortune 500 firms and startups alike.

Michael NothnagelView profile

Professor

• Statistical Genetics
• Genetic Epidemiology
• Population Genetics
• +5 more

Michael Nothnagel is a Professor at the University of Cologne, where he leads the Department of Statistical Genetics and Bioinformatics within the Cologne Center for Genomics (CCG). His work spans statistical genetics, genetic epidemiology, and forensic genetics, focusing on methodological development and large-scale genomic data analysis. His research interests encompass theoretical and applied statistical genetics, with emphasis on human genetic diversity, disease etiology, and forensic applications. Key areas include Y-chromosomal phylogeography, genome-wide association studies for complex diseases, development of statistical methods for variant interpretation, and forensic marker optimization. His group leverages next-generation sequencing data and specialized forensic markers to address questions in population history, disease mechanisms, and identification systems. Recent publications reveal a strong focus on computational approaches to genetic analysis, including spatial frequency interpolation for haplogroup mapping, polygenic risk score applications for behavioral traits, and advanced methods for variant classification. His work demonstrates consistent integration of statistical theory with practical applications in medical and forensic genetics, often through international collaborations like the VISAGE Consortium. Nothnagel maintains active involvement in the Cologne Center for Genomics, contributing to seminars and collaborative projects including the upcoming 34th International Genetic Epidemiology Society meeting. His research group operates at the intersection of computational biology and medicine, with particular strengths in handling complex genomic datasets and developing novel analytical frameworks for genetic epidemiology.

Gerhard BruynsView profile

Associate Professor

• Urban Morphology
• Spatial Design
• Interior Architecture
• +7 more

Dr. ir. Gerhard Bruyns is a tenured Associate Professor at the School of Design, The Hong Kong Polytechnic University , where he serves as Associate Dean (Academic Programmes) and Director of RPg Studies . Previously, he held tenured positions at the Delft University of Technology , Netherlands, in both the Delft School of Design and the Department of Urbanism. His expertise spans spatial morphology, volumetric urbanism, and critical environments in dense urban contexts.

• Biomedical Image Analysis
• Computational Neuroscience
• Biomedical Informatics
• +4 more

Tianming Liu serves as a Distinguished Research Professor in the School of Computing at the University of Georgia, with courtesy faculty appointments in the Department of Epidemiology and Biostatistics at the College of Public Health and the Institute of Bioinformatics. His academic career at UGA spans from Assistant Professor (2008-2013) to Associate Professor (2013-2015) to full Professor (2015-present), culminating in his recognition as a Distinguished Research Professor in 2017. He also serves as Graduate Program Faculty in the School of Computing. Education: Ph.D. in Computer Engineering, Shanghai Jiaotong University, China (2002) Master of Science in Computer Science, Northwestern Polytechnical University, China (1999) Bachelor of Arts in Computer Science, Northwestern Polytechnical University, China (1998) Dr. Liu's research focuses on the intersection of computer science and neuroscience, with particular expertise in biomedical image analysis, computational neuroscience, and biomedical informatics. His work centers on cortical architecture imaging and discovery, developing advanced computational methods for analyzing brain structure and function. His research spans multiple disciplines including neurosciences, cognitive sciences, biomedical engineering, and clinical sciences, with applications in understanding Alzheimer's disease progression, brain connectomics, and neural architecture. Analysis of Dr. Liu's recent publications reveals a strong trajectory in applying deep learning techniques to neuroimaging data. His work increasingly focuses on developing sophisticated neural network architectures specifically designed for brain connectome analysis, with particular attention to spatiotemporal dynamics and hierarchical organization of brain networks. Recent publications demonstrate his leadership in applying neural architecture search methods to optimize brain network analysis pipelines, with applications spanning from Alzheimer's disease research to fundamental neuroscience questions about cortical folding patterns. Scientific Recognition: Distinguished Research Professor at the University of Georgia (2017) Dr. Liu has secured substantial research funding through multiple competitive grants from NIH and NSF, demonstrating the significance and impact of his work. His most notable projects include the NIH R01 grant "Developing an Individualized Deep Connectome Framework for ADRD Analysis," the NIH R01 grant "Mapping Trajectories of Alzheimer's Progression via Personalized Brain Anchor-nodes," and the NSF CRCNS grant "Exploring the Mechanism of 3-Hinge Gyral Formation and its Role in Brain Networks." These projects highlight his leadership in applying computational methods to address critical challenges in neuroscience and medicine, particularly in the domain of Alzheimer's Disease and Related Dementias (ADRD). Dr. Liu collaborates extensively across disciplines, working with researchers at institutions including University of Virginia, Emory University, UNC Chapel Hill, and UT Arlington. His work has contributed to the development of BiomedGPT, an open-source visual-language foundation model for biomedical applications, demonstrating his commitment to creating accessible tools for the broader research community.

Travis B. ThompsonView profile

Assistant Professor

• Mathematical Modeling
• Scientific Computing
• Machine Learning in Medicine
• +5 more

Travis B. Thompson, Ph.D. is an Assistant Professor in the Department of Mathematics and Statistics at Texas Tech University, leading the TM4 (Texas Tech Translational and Theoretical Mathematical Modeling and Machine Learning in Medicine) research group. His academic journey includes postdoctoral work at Rice University, Simula Research Laboratory, and the University of Oxford, focusing on mathematics applied to neurodegenerative diseases. Education: Ph.D. in Mathematics from Texas A&M University (2013) Dr. Thompson develops theoretical mathematical models and applies scientific computing and machine learning to study neurological pathologies, particularly Alzheimer’s disease. His work explores complex biological processes on networks, translational healthcare applications, and nutritional security implications. Current research trends integrate neuroimaging data with finite element simulations to model tau progression , amyloid beta dynamics , and glymphatic clearance in age-related diseases. Scientific awards and honors were not explicitly mentioned in the provided materials. Dr. Thompson’s interdisciplinary approach connects computational neuroscience with biomedical engineering , utilizing techniques like diffusion tensor imaging and level set methods to analyze pathological protein spread and brain tissue mechanics . The TM4 research group focuses on network neurodegeneration , personalized medicine , and machine learning diagnostics . Their work spans from microfluidic cancer detection to computational modeling of brain clearance mechanisms , addressing challenges in both neurodegenerative diseases and biomedical engineering through rigorous mathematical frameworks.

Jonathan L. AuerbachView profile

Assistant Professor

• Data Science
• Causal Inference
• Survey Methods
• +6 more

Jonathan L. Auerbach is an Assistant Professor in the Department of Statistics at George Mason University . His work bridges statistics and public policy , focusing on causal inference , longitudinal data analysis , and official statistics . He has contributed to understanding urban myths (e.g., New York City rat populations, building height trends), election fraud , and policy evaluation for initiatives like Vision Zero. Education : PhD in Statistics (Columbia University, 2020), BA in Economics (Cornell University, 2010) Research Interests include data science , causal inference , survey methodology , and urban analytics . His recent work addresses climate change impacts on cherry blossom seasons, federal data security , and street vendor demographics in New York City. Scientific Awards include the 2024-2025 President of Washington Statistical Society , 2020-2021 American Statistical Association Science Policy Fellow , and 2019 Howard Levene Outstanding Teaching Award . He has served as an instructor for courses like Capstone in Statistics and Causal Inference , emphasizing technical communication and data ethics .

Michael BurdenView profile

Professor

• Opera Studies
• Music History
• Dance Performance
• +3 more

Professor Michael Burden is a Fellow in Music at New College, University of Oxford, and Professor of Opera Studies. His research focuses on the history of the London stage (1660–1860), emphasizing opera staging techniques, dance performance, and Henry Purcell’s music. A former Duff Cooper Literary Prize judge, he has directed Oxford’s New Chamber Opera and co-founded the Oxford Dance Symposium. Education: BA/MA from University of Adelaide; PhD from University of Edinburgh. Leadership: Past President of the British Society for 18th-century Studies, Visitor of the Ashmolean Museum, and RISM Trustee. His publications include studies on Shakespearean adaptation in opera, dance iconography, and libretto interventions. He co-edits the complete Stradella and John Eccles editions and leads the ongoing London Stage Project 1800–1900 , aiming to document 19th-century theatre calendars. Collaborative work includes the Oxford-Princeton grant on historical performance practices in London and New York. Scientific awards include his role as a Duff Cooper Prize judge, though no personal honors are listed. His teaching spans music history from Medieval to 21st-century, with specializations in opera historiography and analysis.

• Artificial Intelligence
• Machine Learning
• Computational Biology
• +7 more

Dr. Antony McCabe is a Lecturer in Computer Science who divides his time between academia and the Computational Biology Facility. His work focuses on bridging artificial intelligence with biomedical challenges through software development, data analysis, and user interface design. Lecturer in Computer Science Member of Computational Biology Facility Research Interests McCabe specializes in applying AI techniques like neural networks and large language models to biomedical problems. His contributions include: Developing the lcmsWorld 3D visualization software for mass spectrometry Advancing the Allele Frequency Net Database for HLA diversity analysis Creating immunoinformatics tools for ethnicity-specific vaccine design Building infrastructure for biomedical data processing and storage Research Trends His publications reveal a consistent focus on computational biology infrastructure (4/6 papers), AI applications in immunology (3/6), and software development for proteomics (2/6). Key themes include data standardization, ethnic diversity considerations, and visualization techniques. Current Projects He is currently tuning large language models to analyze biological literature through a Biotechnology & Biological Science Research Council (BBSRC) grant (2024-2026). Teaching McCabe co-ordinates the COMP222 module on computer game design while also teaching algorithmic game theory, programming languages, and human-centric computing.

Yuhan JiangView profile

Assistant Professor

• Artificial Intelligence in Architecture Engineering Construction and Operations
• Robotics and Remote Sensing
• Computer Vision and Machine Learning
• +7 more

Dr. Yuhan Jiang is an Assistant Professor in the Department of Built Environment at North Carolina A&T State University's College of Science and Technology. He serves as the Founding Director of the HUD Center of Excellence for Innovation in Affordable Housing and Sustainable Communities (CIAHSC). Dr. Jiang leads a multidisciplinary research team focused on integrating robotics, artificial intelligence, and Building Information Modeling in construction operations and infrastructure management. Ph.D. in Civil Engineering from Marquette University M.M. in Construction Management from Guangzhou University Additional Construction Management degree from Guangzhou University Dr. Jiang's research primarily focuses on artificial intelligence applications in architecture, engineering, construction, and operations (AECO). His work integrates robotics and remote sensing for data collection, computer vision and machine learning for data processing, and BIM, GIS, and AR/VR for data visualization. His research enables more efficient construction operations, building inspection, and infrastructure management. Additionally, he has extensive experience in community redevelopment planning and complex systems simulation, including investigating urban village formation mechanisms. Analysis of Dr. Jiang's recent publications reveals a strong focus on applying drone technology, computer vision, and deep learning to construction and infrastructure challenges. His work spans multiple domains including façade modeling, pavement evaluation, sidewalk inspection, earthwork calculation, and 3D reconstruction. A consistent theme across his research is the development of automated systems that improve efficiency, accuracy, and safety in construction and infrastructure management through AI and robotics. N.C. A&T and CoST Junior Faculty Teaching Excellence Award 2024-25 N.C. A&T and CoST Rookie Researcher of the Year Award 2024 ASCE Journal of Architectural Engineering Best Paper Award 2022 ASCE CI & CRC Joint Conference Best Paper Award 2024 AAAS HBCU Making and Innovation Showcase 1st Place 2024 CoST SciTech Week Innovation Challenge awards (2023-2025) N.C. A&T Provost's Faculty Fellow (2023 & 2024) Dr. Jiang has successfully secured over $4.5 million in research funding as PI or Co-PI, including a $2.5 million HUD Center of Excellence grant. He has mentored students who won 1st and 3rd place in the 2023 & 2024 Sci-Tech Week Innovation Challenge competitions and 1st place at the 2024 AAAS HBCU Making and Innovation Showcase. His funded projects span AI-driven BIM education tools, smart farming with robotics, drone-based façade modeling, and digital twin applications for infrastructure management. As Founding Director of the HUD Center of Excellence for Innovation in Affordable Housing and Sustainable Communities (CIAHSC), Dr. Jiang leads a multidisciplinary team focused on innovative approaches to affordable housing and sustainable community development. His lab work integrates drone technology, computer vision, and AI to create practical solutions for real-world construction and infrastructure challenges.

Leila De FlorianiView profile

Professor

• Geometric Modeling
• Data Visualization
• Spatial Data Representation and Processing
• +6 more

Leila De Floriani is a Professor at the University of Maryland, with appointments in the Department of Geographical Sciences and the University of Maryland Institute for Advanced Computer Studies (UMIACS). She previously served as a professor at the University of Genova (Italy) since 1990, where she developed Italy's first undergraduate and graduate curricula in computer graphics and directed the Ph.D. program in Computer Science for eight years. Her professional activities include serving as the 2020 President of the IEEE Computer Society and currently as IEEE Division VIII Director for 2023-24. Professor De Floriani's research spans geometric modeling, data visualization, spatial data representation and processing, computer graphics, shape analysis, and topological data analysis. Her work focuses on developing mathematical models and algorithms for representing, analyzing, and visualizing complex spatial data, particularly through hierarchical models, mesh-based representations, and topology-based approaches. Her research group, the GeoVis group, investigates applications in terrain modeling, environmental data analysis, and forest structure mapping using LiDAR technology. Analysis of her recent publications reveals a strong focus on terrain representation and processing, with increasing emphasis on topological data analysis, machine learning integration, and efficient algorithms for large-scale spatial data. Her work bridges theoretical foundations in computational topology with practical applications in geospatial sciences, demonstrating consistent innovation in data structures and visualization techniques. Scientific Awards & Recognitions Fellow of IEEE (2016) for contributions to geometric modeling and scientific visualization Fellow of International Association for Pattern Recognition (IAPR) (1998) for contributions to geometric modeling and image analysis Fellow of Eurographics Association (2020) for outstanding contributions to computer graphics and visualization Pioneer of Solid Modeling Association (2017) for seminal work in solid and feature-based modeling Inducted Member of IEEE Visualization Academy (2020) IEEE Computer Society Golden Medal Award (2018) Inducted Member of IEEE Honor Society Eta Kappa Nu (2019) Multiple best paper awards at major conferences including Shape Modeling International (2015), IEEE/EG Symposium on Volume and Point-Based Graphics (2008), and ACM SIGSPATIAL (2008) Professor De Floriani has successfully advised numerous PhD students including Xin Xu, Yunting Song, and Noel Dyer, whose recent dissertations focused on topology-based individual tree mapping, efficient terrain analysis, and bathymetric data visualization respectively. Her research has been funded by prestigious agencies including the National Science Foundation, NASA, and the European Commission. As the leader of the UMD GeoVis group, she oversees a research program that develops open-source tools for spatial data analysis available on GitHub, with current projects focusing on forest point cloud processing and topology-based geospatial data visualization. The GeoVis group, affiliated with the Department of Geographical Sciences, UMIACS, and the Center for Geospatial Information Sciences, maintains a strong collaborative environment with ongoing projects in geometric modeling, spatial data structures, topology-based machine learning, and mesh-based terrain modeling. The group has received recent funding from NASA's HPOSS program for developing an open-source library for forest point cloud processing based on topological data analysis.